Weka 3.7 Classifier

There are 120 nodes that can be used as predessesor for a node with an input port of type

FLR (3.7)

Fuzzy Lattice Reasoning Classifier (FLR) v5.0 The Fuzzy Lattice Reasoning Classifier uses the notion of Fuzzy Lattices for creating a Reasoning Environment. […]

HyperPipes (3.7)

Class implementing a HyperPipe classifier

InputMappedClassifier (3.7)

Wrapper classifier that addresses incompatible training and test data by building a mapping between the training data that a classifier has been built with […]

OSDL (3.7)

This class is an implementation of the Ordinal Stochastic Dominance Learner. Further information regarding the OSDL-algorithm can be found in: S

SerializedClassifier (3.7)

A wrapper around a serialized classifier model

VFI (3.7)

Classification by voting feature intervals

LogisticBase (3.7)

Weka LogisticBase (3.7)

BFTree (3.7)

Class for building a best-first decision tree classifier

DecisionStump (3.7)

Class for building and using a decision stump

FT (3.7)

Classifier for building 'Functional trees', which are classification trees that could have logistic regression functions at the inner nodes and/or leaves

Node Connectivity